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I'm Kristo Paiba, a senior AI/ML engineer with 10+ years of experience designing and deploying Generative AI, LLM-powered systems across cloud platforms. I’m proficient in Python, PyTorch, TensorFlow, and end-to-end ML delivery, from research to production. I thrive on building scalable architectures and delivering practical AI products that solve real problems. I enjoy creating high-performance microservices, real-time inference pipelines, and secure model pipelines for fintech, IoT, SaaS, and healthcare. Known for strong system architecture and deep learning expertise, I love turning complex challenges into robust, production-ready AI solutions.…I'm Kristo Paiba, a senior AI/ML engineer with 10+ years of experience designing and deploying Generative AI, LLM-powered systems across cloud platforms. I’m proficient in Python, PyTorch, TensorFlow, and end-to-end ML delivery, from research to production. I thrive on building scalable architectures and delivering practical AI products that solve real problems. I enjoy creating high-performance microservices, real-time inference pipelines, and secure model pipelines for fintech, IoT, SaaS, and healthcare. Known for strong system architecture and deep learning expertise, I love turning complex challenges into robust, production-ready AI solutions.

Kristo Paiba

AI Engineer, AI Developer, Data Scientist, +2

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I'm Kristo Paiba, a senior AI/ML engineer with 10+ years of experience designing and deploying Generative AI, LLM-powered systems across cloud platforms. I’m proficient in Python, PyTorch, TensorFlow, and end-to-end ML delivery, from research to production. I thrive on building scalable architectures and delivering practical AI products that solve real problems. I enjoy creating high-performance microservices, real-time inference pipelines, and secure model pipelines for fintech, IoT, SaaS, and healthcare. Known for strong system architecture and deep learning expertise, I love turning complex challenges into robust, production-ready AI solutions.…I'm Kristo Paiba, a senior AI/ML engineer with 10+ years of experience designing and deploying Generative AI, LLM-powered systems across cloud platforms. I’m proficient in Python, PyTorch, TensorFlow, and end-to-end ML delivery, from research to production. I thrive on building scalable architectures and delivering practical AI products that solve real problems. I enjoy creating high-performance microservices, real-time inference pipelines, and secure model pipelines for fintech, IoT, SaaS, and healthcare. Known for strong system architecture and deep learning expertise, I love turning complex challenges into robust, production-ready AI solutions.

Available to hire

I’m Kristo Paiba, a senior AI/ML engineer with 10+ years of experience designing and deploying Generative AI, LLM-powered systems across cloud platforms. I’m proficient in Python, PyTorch, TensorFlow, and end-to-end ML delivery, from research to production. I thrive on building scalable architectures and delivering practical AI products that solve real problems.

I enjoy creating high-performance microservices, real-time inference pipelines, and secure model pipelines for fintech, IoT, SaaS, and healthcare. Known for strong system architecture and deep learning expertise, I love turning complex challenges into robust, production-ready AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Estonian

Fluent

English

Advanced

Work Experience

Senior AI / ML Engineer at Appotype

May 1, 2024 - September 1, 2025

Built a production Generative AI platform using LLMs and PyTorch, enabling real-time interpretation of industrial IoT data and reducing false-alert noise by 32%. Designed an agentic AI maintenance assistant using LangChain, RAG, and FAISS to give technicians prompt answers. Automated engineering reports with LORA-tuned GPT models and TensorRT, reducing manual reporting effort by 70%. Created a high-speed, multi-agent inference pipeline using FastAPI and ONNX Runtime, improving system latency and throughput. Combined YOLOv8 and OpenCV with LLM reasoning to generate clinical diagnostics from image and sensor inputs. Implemented full MLOps automation with MLflow, Airflow, and Weights & Biases for training, versioning, evaluation, and deployment. Mentored engineers on prompt design, LLM lifecycle management, and best practices for AI-driven product development.

Senior AI Developer at Inspiring Benefits

January 1, 2020 - April 1, 2024

Developed an LLM-based personalization engine using Transformers and scikit-learn, improving recommendation accuracy and user engagement. Built Campaign Content Generator, a multilingual generative system powered by GPT APIs and LangChain. Delivered low-latency inference services with FastAPI and ONNX Runtime at scale. Mentored junior developers in LLM evaluation, prompt engineering, and experiment tracking.

Python Developer at Angry Nerds

February 1, 2018 - December 1, 2020

Built backend for a logistics automation platform using Python, Django, and Flask. Developed automated features and REST APIs using Celery and Redis, increasing backend throughput by 40%. Deployed services with Docker and collaborated with cross-functional teams in Agile sprints.

ML Developer at Lingvist

January 1, 2016 - January 1, 2018

Developed an Adaptive Learning Engine using TensorFlow, increasing vocabulary retention accuracy by 17%. Improved content recommendations using Transformer-based NLP embeddings and semantic similarity models. Automated large-scale data workflows with Airflow, Pandas, and PySpark. Built experiment-tracking workflows with MLflow and contributed to A/B testing pipelines.

Python Developer at Flow It

October 1, 2014 - December 1, 2015

Built backend modules for a logistics automation platform using Python, Django, and Flask. Deployed automation features and REST APIs using Celery and Redis, increasing backend throughput by 40%. Deployed services using Docker, collaborating with cross-functional teams in Agile sprints.